1.9k citations · 3.4k across the 41 of their papers we have counts for
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Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiss, Shaowei Jiang, Xiang Li +13
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental…
Imaging across multiple spatial scales with the multi-camera array microscope
Mark Harfouche, Kanghyun Kim, Kevin C. Zhou +22
This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "…
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
Shiqi Xu, Wenhui Liu, Xi Yang +11
Fast noninvasive probing of spatially varying decorrelating events, such as cerebral blood flow beneath the human skull, is an essential task in various scientific and clinical set…
Deep image prior for undersampling high-speed photoacoustic microscopy
Tri Vu, Anthony DiSpirito, Daiwei Li +10
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser's repetition rate, state-of-the-art high-speed PAM technology…
Multi-element microscope optimization by a learned sensing network with composite physical layers
Kanghyun Kim, Pavan Chandra Konda, Colin L. Cooke +2
Standard microscopes offer a variety of settings to help improve the visibility of different specimens to the end microscope user. Increasingly, however, digital microscopes are us…
Reconstructing undersampled photoacoustic microscopy images using deep learning
Anthony DiSpirito, Daiwei Li, Tri Vu +5
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel applic…